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Ai Data Rater Jobs in Washington (NOW HIRING)

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... best rates, and optimizes usage to align with prices in real-time--delivering the same market ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

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Ai Data Rater information

What is an AI data rater?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What does an AI data rater do?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

What skills and qualifications are needed to thrive as an AI data rater?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What are the most commonly searched types of Ai Data Rater jobs in Washington?

The most popular types of Ai Data Rater jobs in Washington are:

What are popular job titles related to Ai Data Rater jobs in Washington?

For Ai Data Rater jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Ai Data Rater jobs?

Cities in Washington with the most Ai Data Rater job openings:

Infographic showing various Ai Data Rater job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Washington, DC • On-site

Other

Posted 17 days ago


Job description

AI, Data Platforms & Responsible AI Governance Lead - R-07B
  • Washington, DC

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Requisition: R-07B

Opportunity: 26-0015 / 1131PL26R0058

Location Anchor: Washington, DC 20001

Work mode: Fully remote / U.S.-based

Travel: Europe/Eurasia as assigned

Engagement: Contingent expert

Role purpose

Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.

Representative assignment problems
  • Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
  • Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
  • Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
  • Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
  • Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
  • Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
  • Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
  • Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
  • Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
  • Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
  • Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
  • 10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
  • Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions—not only software development or tool use.
  • Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
  • Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
  • U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
  • Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
  • Current résumé with month/year dates and exact project responsibilities.
  • Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
  • One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
  • Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
  1. 1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
  2. 2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
  3. 3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
  4. 4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
  5. 5. Identify Europe/Eurasia countries/languages and international-development experience.
  6. 6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
  7. 7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice

This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.

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